Crypto Analyst Position

1 day ago

Baguio City, Cordillera, Philippines beBeeDataScientist Full time $1,000,000 - $1,500,000
Crypto Data Scientist Role

Token Metrics, a pioneering cryptocurrency investment research platform, leverages machine learning and artificial intelligence to drive its business. Founded by Ian Balina in 2017, the company's Moneyball-style approach to crypto investing has formed the basis of its platform, which now helps thousands of customers worldwide profitably navigate the crypto markets.

The ideal candidate will be responsible for evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of AI software's predictive automation capabilities. A first-class machine learning engineer will demonstrate solid data science knowledge and experience.

Key Responsibilities:
  • Collaborate with managers to determine and refine machine learning objectives.
  • Design machine learning systems and self-running artificial intelligence (AI) to automate predictive models.
  • Transform data science prototypes and apply appropriate ML algorithms and tools.
  • Ensure algorithms generate accurate user recommendations.
  • Solve complex problems with multi-layered data sets, as well as optimize existing machine learning libraries and frameworks.
  • Develop ML algorithms to analyze huge volumes of historical data to make predictions.
  • Stress test, perform statistical analysis, and interpret test results for all market conditions.
  • Document machine learning processes.
  • Stay abreast of developments in machine learning.
Requirements:
  • Bachelor's degree in computer science, data science, mathematics, or a related field.
  • Master's degree in computational linguistics, data science, data analytics, or similar is advantageous.
  • At least two years' experience as a machine learning engineer.
  • Advanced proficiency with Python, Java, and R code.
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • In-depth knowledge of mathematics, statistics, and algorithms.
  • Superb analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Excellent time management and organizational abilities.

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